Papers
Alpha at SemEval-2021 Task 6: Transformer Based Propaganda Classification
Zhida Feng, Jiji Tang, Jiaxiang Liu et al.
Alternated Training with Synthetic and Authentic Data for Neural Machine Translation
Rui Jiao, Zonghan Yang, Maosong Sun et al.
AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization
Xinsong Zhang, Pengshuai Li, Hang Li
A Mention-Based System for Revision Requirements Detection
Ahmed Ruby, Christian Hardmeier, Sara Stymne
Amherst685 at SemEval-2021 Task 7: Joint Modeling of Classification and Regression for Humor and Offense
Brian Zylich, Akshay Gugnani, Gabriel Brookman et al.
A Mixed-Method Design Approach for Empirically Based Selection of Unbiased Data Annotators
Gautam Thakur, Janna Caspersen, Drahomira Herrmannova et al.
A Mixture-of-Experts Model for Antonym-Synonym Discrimination
Zhipeng Xie, Nan Zeng
A Modest Pareto Optimisation Analysis of Dependency Parsers in 2021
Mark Anderson, Carlos Gómez-Rodríguez
AMU-EURANOVA at CASE 2021 Task 1: Assessing the stability of multilingual BERT
Léo Bouscarrat, Antoine Bonnefoy, Cécile Capponi et al.
A Multi-Level Attention Model for Evidence-Based Fact Checking
Canasai Kruengkrai, Junichi Yamagishi, Xin Wang
A Multi-Task Approach for Improving Biomedical Named Entity Recognition by Incorporating Multi-Granularity information
Yiqi Tong, Yidong Chen, Xiaodong Shi
A Multi-Task Learning Framework for Multi-Target Stance Detection
Yingjie Li, Cornelia Caragea
A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering
Zhihong Shao, Lifeng Shang, Qun Liu et al.
Analysis of Tree-Structured Architectures for Code Generation
Samip Dahal, Adyasha Maharana, Mohit Bansal
Analyzing Code Embeddings for Coding Clinical Narratives
Wei Shi, Jiewen Wu, Xiwen Yang et al.
Analyzing Online Political Advertisements
Danae Sánchez Villegas, Saeid Mokaram, Nikolaos Aletras
Analyzing Stereotypes in Generative Text Inference Tasks
Anna Sotnikova, Yang Trista Cao, Hal Daumé III et al.
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation
Elena Voita, Rico Sennrich, Ivan Titov
Anchor-based Bilingual Word Embeddings for Low-Resource Languages
Tobias Eder, Viktor Hangya, Alexander Fraser
AND does not mean OR: Using Formal Languages to Study Language Models’ Representations
Aaron Traylor, Roman Feiman, Ellie Pavlick
An Empirical Study on Adversarial Attack on NMT: Languages and Positions Matter
Zhiyuan Zeng, Deyi Xiong
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and Normalization
Baohang Zhou, Xiangrui Cai, Ying Zhang et al.
A Neural Edge-Editing Approach for Document-Level Relation Graph Extraction
Kohei Makino, Makoto Miwa, Yutaka Sasaki